{"id":"W7065948961","doi":"","title":"Finding what matters in the universe","year":2002,"lang":"en","type":"other","venue":"CERN Document Server (European Organization for Nuclear Research)","topic":"Silicon and Solar Cell Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Universe; Exposition (narrative); Work (physics); George (robot)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003639472,0.0001948461,0.0001490589,0.0004838382,0.0001672645,0.0006878203,0.001064683,0.0001454234,0.01241829],"category_scores_gemma":[0.00004521036,0.0001731724,0.00004714293,0.0005724845,0.00009169269,0.0002738914,0.0003470492,0.0004152708,0.004032444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001971278,"about_ca_system_score_gemma":0.000002355099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000163261,"about_ca_topic_score_gemma":0.00000654816,"domain_scores_codex":[0.9987849,0.0001654846,0.0001602584,0.0002537037,0.0002981446,0.0003374974],"domain_scores_gemma":[0.999339,0.00002723005,0.00004092271,0.0005211151,0.00002857924,0.00004310159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003776207,0.0000432039,0.00002783026,0.0002936185,0.00006619383,0.00007305435,0.001831349,0.0002749737,0.00002523779,0.01624228,0.9781842,0.002934328],"study_design_scores_gemma":[0.0003958569,0.0000323586,0.00009877378,0.0002331005,0.00001105594,0.0000079389,0.003483686,0.00002830434,0.00006627746,0.0004777296,0.9949015,0.0002634056],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08230922,0.004205699,0.00003599809,0.008584065,0.002077629,0.004894681,0.00001861072,0.01143205,0.8864421],"genre_scores_gemma":[0.6110536,0.01361771,0.00002909176,0.0008292397,0.0002775546,0.000003039695,0.0003666858,0.005649244,0.3681738],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5287445,"threshold_uncertainty_score":0.996743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02727227095384012,"score_gpt":0.2385236822064448,"score_spread":0.2112514112526047,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}